Valeria P. Egorova
Papers
6
Total Citations
39
H-Index
4
About
Valeria P. Egorova is a researcher specializing in intelligent automation, robotics, and advanced manufacturing processes, with a particular focus on welding technology, industrial robotics, and AI-driven decision support systems. Her work sits at the compelling intersection of artificial intelligence and industrial engineering, addressing real-world challenges in sectors ranging from aviation and shipbuilding to food production. Egorova's most influential contribution, garnering 16 citations, introduced an intelligent decision support system that leverages computational intelligence to optimize robotic welding parameters, significantly reducing the complexity faced by process engineers during development and debugging. Complementing this, her adaptive quality diagnostics system for automated welding products (7 citations) advanced defect detection methodologies through structured parameter analysis. More recently, Egorova has extended her expertise toward energy efficiency, developing a neural network-based method for optimizing robot movement trajectories in differentiated manufacturing processes — a timely contribution as industrial robotization accelerates across diverse industries. Her investigations into aerospace component machining and shipbuilding automation further demonstrate the breadth of her applied research. With over 35 cumulative citations and contributions spanning multiple high-impact industrial domains, Egorova represents an emerging voice in intelligent manufacturing systems, whose work holds meaningful implications for the future of automated production engineering.
Research Focus
Key Achievements
Top Papers
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